Homo sapiens
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ABSTRACT:
PROVIDER: PRJNA154457 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:This SuperSeries is composed of the following subset Series: GSE32583: Expression data from lupus NZB/W, NZM2410, NZW/BXSB mouse kidneys prenephritic and nephritic. GSE32591: Expression data from human with lupus nephritis (LN) Refer to individual Series
2012-08-01 | E-GEOD-32592 | biostudies-arrayexpress
Project description:Genome-wide alternative splice analysis of RNA from lupus and its severe form lupus nephritis We aimed to explore the genome-wide peripheral blood transcriptome of lupus (SLE) and its severe form lupus nephritis (LN) cases compared to healthy subjects (HC) using high density Affymetrix Human Exon1.0.ST arrays. Analysis revealed 15 splice variants that are differentially expressed between SLE/HC and 99 variants between LN/HC (pâ¤0.05,SI>orâ¤0.5,Benjamin Hochberg-False discovery rate correction). Comparison between LN/SLE revealed 7 variants that are differentially expressed with pâ¤0.05,SI>0.5,Benjamin Hochberg-FDR correction. Pathway analysis of differentially spliced genes revealed 11 significant pathways in SLE and 12 in LN (p<0.05). Analysis of peripheral blood transcriptome revealed signature causative genes that are alternatively spliced, signifying their clinical relevance in the pathophysiology of disease. The extent of differential splicing was found to be higher in LN than in SLE, signifying the need for further in-depth research in the same domain. Present study is the first to reveal the significance of alternative variants in susceptibility to SLE and LN. We analyzed blood from 11 female subjects (5 lupus, 3 lupus nephritis and 3 healthy control) using the Affymetrix Human Exon 1.0 ST platform. Array data was processed by Alt Analyze and Genespring software. No techinical replicates were performed. One of the outiler sample (HC2) was excluded from further analysis.
2016-01-06 | E-GEOD-62764 | biostudies-arrayexpress
Project description:We aimed to investigate whether differentially expressed genes are related to lupus nephritis (LN) We then performed gene expression profiling analysis using data obtained from RNA-seq of peripheral blood cell from LN patients
2024-06-14 | GSE232381 | GEO
Project description:Nephritis (LN) is a serious manifestation of SLE. Therapeutic studies in mouse LN models do not always predict outcomes of human therapeutic trials, raising concerns about the human relevance of these models. In this study we used an unbiased transcriptional network approach to define similarities and differences between three lupus models and human LN. Affymetrix-based expression profiles were analyzed using Genomatix Bibliosphere software and transcriptional networks were compared using the Tool for Approximate LargE graph matching (TALE). The 20 network hubs (nodes) shared between all three models and human LN reflect key pathologic processes, namely immune cell infiltration/activation, macrophage/dendritic cell activation, endothelial cell activation/injury and tissue remodeling/fibrosis. Each model also shares unique features with human LN. Pathway analysis of the TALE nodes highlighted macrophage/DC activation as a cross-species shared feature. To distinguish which genes and activation pathways might derive from mononuclear phagocytes in the human kidneys the gene expression profile of isolated NZB/W renal mononuclear cells was compared with human LN kidney profiles. Network analysis of the shared signature highlighted NFkappaB1 and PPARgamma as major hubs in the tubulointerstitial and glomerular networks respectively. Key nodes in the renal macrophage inflammatory response form the basis for further mechanistic and therapeutic studies. We used microarrays to analyze the renal transcriptome of three different lupus mouse models, at early stage of lupus and during lupus nephritis. RNA from whole kidneys was extracted and processed for hybridization on Affymetrix microarrays.
2012-08-01 | E-GEOD-32583 | biostudies-arrayexpress
Project description:Neutrophyl Extracellular Traps (NETs) accumulated in serum of patients with Lupus Nephritis for defective removal by DNAse. Among a complex protein panel (overall 802) two clusters of 16 and 13 proteins were more expressed by LN and SLE NETs respectively; oxidized aenolase and annexin A1 were main components of the first series in LN. NETs may represent a source of modified intracellular antigens for autoimmunity in LN.
2019-11-12 | PXD007754 | Pride
Project description:Nephritis (LN) is a serious manifestation of SLE. Therapeutic studies in mouse LN models do not always predict outcomes of human therapeutic trials, raising concerns about the human relevance of these models. In this study we used an unbiased transcriptional network approach to define similarities and differences between three lupus models and human LN. Affymetrix-based expression profiles were analyzed using Genomatix Bibliosphere software and transcriptional networks were compared using the Tool for Approximate LargE graph matching (TALE). The 20 network hubs (nodes) shared between all three models and human LN reflect key pathologic processes, namely immune cell infiltration/activation, macrophage/dendritic cell activation, endothelial cell activation/injury and tissue remodeling/fibrosis. Each model also shares unique features with human LN. Pathway analysis of the TALE nodes highlighted macrophage/DC activation as a cross-species shared feature. To distinguish which genes and activation pathways might derive from mononuclear phagocytes in the human kidneys the gene expression profile of isolated NZB/W renal mononuclear cells was compared with human LN kidney profiles. Network analysis of the shared signature highlighted NFkappaB1 and PPARgamma as major hubs in the tubulointerstitial and glomerular networks respectively. Key nodes in the renal macrophage inflammatory response form the basis for further mechanistic and therapeutic studies. We used microarrays to analyze the renal transcriptome of three different lupus mouse models, at early stage of lupus and during lupus nephritis.
2012-08-02 | GSE32583 | GEO
Project description:Nephritis (LN) is a serious manifestation of SLE. Therapeutic studies in mouse LN models do not always predict outcomes of human therapeutic trials, raising concerns about the human relevance of these models. In this study we used an unbiased transcriptional network approach to define similarities and differences between three lupus models and human LN. Affymetrix-based expression profiles were analyzed using Genomatix Bibliosphere software and transcriptional networks were compared using the Tool for Approximate LargE graph matching (TALE). The 20 network hubs (nodes) shared between all three models and human LN reflect key pathologic processes, namely immune cell infiltration/activation, macrophage/dendritic cell activation, endothelial cell activation/injury and tissue remodeling/fibrosis. Each model also shares unique features with human LN. Pathway analysis of the TALE nodes highlighted macrophage/DC activation as a cross-species shared feature. To distinguish which genes and activation pathways might derive from mononuclear phagocytes in the human kidneys the gene expression profile of isolated NZB/W renal mononuclear cells was compared with human LN kidney profiles. Network analysis of the shared signature highlighted NFkappaB1 and PPARgamma as major hubs in the tubulointerstitial and glomerular networks respectively. Key nodes in the renal macrophage inflammatory response form the basis for further mechanistic and therapeutic studies. We used microarrays to analyze the transcriptome of microdissected renal biopsies from patients with lupus nephritis (LN) RNA from glomeruli and tubulointerstitial compartments was extracted and processed for hybridization on Affymetrix microarrays.
2012-06-27 | E-GEOD-32591 | biostudies-arrayexpress
Project description:<p><strong>Background:</strong> Lupus nephritis (LN) is a severe complication of systemic lupus erythematosus (SLE), underscoring an urgent need for non-invasive diagnostic biomarkers. </p><p><strong>Objective: </strong>This study aimed to define the metabolomic signature of urinary extracellular vesicles (uEVs) in LN and to identify novel biomarkers for precision diagnosis.</p><p><strong>Methods:</strong> We isolated uEVs from 29 patients with LN, 22 SLE patients without nephritis, and 20 healthy controls. uEVs were characterized according to MISEV guidelines, and their metabolomes were profiled using untargeted liquid chromatography–tandem mass spectrometry (LC–MS/MS). Differential metabolites were analyzed through bioinformatics and a random forest machine-learning algorithm to construct a diagnostic model. </p><p><strong>Results:</strong> Among 897 identified metabolites, 284 were significantly dysregulated in LN. A random forest model prioritized a ten-metabolite panel. Three metabolites—Glucosylsphingosine, PE-NMe, and PC(20:5/TXB2)—exhibited outstanding diagnostic performance, with area under the curve (AUC) values of 0.912, 0.906, and 0.897, respectively, for distinguishing LN from non-renal SLE. </p><p><strong>Conclusion:</strong> We identified a distinct uEV metabolic signature in LN and developed a robust, non-invasive biomarker panel. This strategy holds significant promise for the early detection and personalized management of LN, offering a compelling alternative to invasive renal biopsy.</p>
2026-02-11 | MTBLS13839 | MetaboLights
Project description:Genome-wide alternative splice analysis of RNA from lupus and its severe form lupus nephritis We aimed to explore the genome-wide peripheral blood transcriptome of lupus (SLE) and its severe form lupus nephritis (LN) cases compared to healthy subjects (HC) using high density Affymetrix Human Exon1.0.ST arrays. Analysis revealed 15 splice variants that are differentially expressed between SLE/HC and 99 variants between LN/HC (p≤0.05,SI>or≤0.5,Benjamin Hochberg-False discovery rate correction). Comparison between LN/SLE revealed 7 variants that are differentially expressed with p≤0.05,SI>0.5,Benjamin Hochberg-FDR correction. Pathway analysis of differentially spliced genes revealed 11 significant pathways in SLE and 12 in LN (p<0.05). Analysis of peripheral blood transcriptome revealed signature causative genes that are alternatively spliced, signifying their clinical relevance in the pathophysiology of disease. The extent of differential splicing was found to be higher in LN than in SLE, signifying the need for further in-depth research in the same domain. Present study is the first to reveal the significance of alternative variants in susceptibility to SLE and LN.
2016-01-06 | GSE62764 | GEO
Project description:To identify factors that influence the progression of lupus nephritis (LN), we performed RNA sequencing on renal biopsy samples obtained from patients with active LN. The renal biopsy pathology followed the classification of the International Society of Nephrology and Renal Pathology Society (ISN/RPS) for 21 lupus nephritis patients: 2 in Class II, 3 in Class III, 10 in Class IV, 5 in Class V, and 1 patient with mixed type LN. The duration of disease from onset of systemic lupus erythematosus (SLE) to the onset of lupus nephritis was 26 months. Proteinuria was 2.5 (g/gCr or g/24hr), estimated Glomerular Filtration Rate (eGFR) was 72.9 (ml/min/1.73 m2), Index of activity was 5, and Index of chronicity was 3. Among different gene expression variations, the type I interferon (IFN) signature showed high expression in patients with shorter disease duration, preserved eGFR, and lower Index of chronicity. The type I IFN signature contributes to fibrosis in the tubulointerstitial space and worsens chronic lesions. Early control of the type I IFN signature may limit disease progression. Our results reveal a potential molecular mechanism for active LN and the link between functional and structural changes and differential gene expression observed in patients with early-stage LN.
2025-12-31 | GSE239576 | GEO